Hostname: page-component-848d4c4894-sjtt6 Total loading time: 0 Render date: 2024-06-21T17:05:05.004Z Has data issue: false hasContentIssue false
  • English
  • Français

Understanding mechanical feedback from HERGs and LERGs

Published online by Cambridge University Press:  03 March 2020

Imogen H. Whittam
Imogen H. Whittam*
Affiliation:
Department of Physics and Astronomy, University of the Western Cape, Robert Sobukwe Road, Bellville 7535, South Africa email: iwhittam@uwc.ac.za
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The properties of ∼ 1000 high-excitation and low-excitation radio galaxies (HERGs and LERGs) selected from the Heywood et al. (2016) 1 – 2 GHz VLA survey of Stripe 82 are investigated. The HERGs in this sample are generally found in host galaxies with younger stellar populations than LERGs, consistent with other work. The HERGs tend to accrete at a faster rate than the LERGs, but there is more overlap in the accretion rates of the two classes than has been found previously. We find evidence that mechanical feedback may be significantly underestimated in hydrodynamical simulations of galaxy evolution; 84 % of this sample release more than 10 % of their energy in mechanical form. Mechanical feedback is significant for many of the HERGs in this sample as well as the LERGs; nearly 50 % of the HERGs release more than 10 % of their energy in their radio jets.

Keywords

radio continuum: galaxiesgalaxies: activegalaxies: evolution
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 14 , Symposium A30: Astronomy in Focus XXX , August 2018 , pp. 86 - 89
Copyright
© International Astronomical Union 2020

References

Abolfathi, B. et al. 2018, ApJS, 235, 42 CrossRefGoogle Scholar
Best, P. N. & Heckman, T. M. 2012, MNRAS, 421, 1569 CrossRefGoogle Scholar
Cattaneo, A. et al. 2009, Nature, 460, 213 CrossRefGoogle Scholar
Cavagnolo, K. W. et al. 2010, ApJ, 720, 1066 CrossRefGoogle Scholar
Davé, R., Thompson, R., & Hopkins, P. F. 2016, MNRAS, 462, 3265 CrossRefGoogle Scholar
Dubois, Y. et al. 2014, MNRAS, 444, 1453 CrossRefGoogle Scholar
Fabian, A. C. 2012, ARA&A, 50, 455 Google Scholar
Hardcastle, M. J., Evans, D. A., & Croston, J. H. 2007, MNRAS, 376, 1849 Google Scholar
Heckman, T. M. & Best, P. N. 2014, ARA&A, 52, 589 Google Scholar
Heywood, I. et al. 2016, MNRAS, 460, 4433 CrossRefGoogle Scholar
Jarvis, M. et al. 2016, Proceedings of MeerKAT Science: On the Pathway to the SKA. 25-27 May, 2016 Stellenbosch, South Africa, 6 Google Scholar
Mingo, B. et al. 2014, MNRAS, 440, 269 Google Scholar
Prescott, M. et al. 2018, MNRAS, 480, 707 CrossRefGoogle Scholar
Thomas, D. et al. 2013, MNRAS, 431, 1383 CrossRefGoogle Scholar
Whittam, I. H., Prescott, M., McAlpine, K., Jarvis, M. J., & Heywood, I. 2018, MNRAS, 480, 358 Google Scholar